Predicting Colorectal Cancer Recurrence and Patient Survival Using Supervised Machine Learning Approach: A South African Population-Based Study

Predicting Colorectal Cancer Recurrence and Patient Survival Using Supervised Machine Learning Approach: A South African Population-Based Study

Background: South Africa (SA) has the highest incidence of colorectal cancer (CRC) in Sub-Saharan Africa (SSA). However, there is limited research on CRC recurrence and survival in SA. CRC recurrence and overall survival are highly variable across studies. Accurate prediction of patients at risk can...

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Bibliographic Details
Main Authors: Okechinyere J. Achilonu, June Fabian, Brendan Bebington, Elvira Singh, M. J. C. Eijkemans, Eustasius Musenge
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-07-01
Series:Frontiers in Public Health
Subjects:
colorectal
cancer
recurrence
survival
machine learning
filter feature selection
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2021.694306/full

Internet

https://www.frontiersin.org/articles/10.3389/fpubh.2021.694306/full

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